Enhance M-dimensional objects in N-dimensional images. More...

#include <sitkObjectnessMeasureImageFilter.h>

Inheritance diagram for itk::simple::ObjectnessMeasureImageFilter:

Collaboration diagram for itk::simple::ObjectnessMeasureImageFilter:

Public Types
typedef RealPixelIDTypeList	PixelIDTypeList

typedef ObjectnessMeasureImageFilter	Self

Public Types inherited from itk::simple::ImageFilter< 1 >
typedef ImageFilter	Self

Public Types inherited from itk::simple::ProcessObject
typedef ProcessObject	Self

Public Member Functions
Self &	BrightObjectOff ()

Self &	BrightObjectOn ()

Image	Execute (const Image &image1)

Image	Execute (const Image &image1, double alpha, double beta, double gamma, bool scaleObjectnessMeasure, unsigned int objectDimension, bool brightObject)

double	GetAlpha () const

double	GetBeta () const

bool	GetBrightObject () const

double	GetGamma () const

std::string	GetName () const

unsigned int	GetObjectDimension () const

bool	GetScaleObjectnessMeasure () const

	ObjectnessMeasureImageFilter ()

Self &	ScaleObjectnessMeasureOff ()

Self &	ScaleObjectnessMeasureOn ()

Self &	SetAlpha (double Alpha)

Self &	SetBeta (double Beta)

Self &	SetBrightObject (bool BrightObject)

Self &	SetGamma (double Gamma)

Self &	SetObjectDimension (unsigned int ObjectDimension)

Self &	SetScaleObjectnessMeasure (bool ScaleObjectnessMeasure)

std::string	ToString () const

virtual	~ObjectnessMeasureImageFilter ()

Public Member Functions inherited from itk::simple::ImageFilter< 1 >
	ImageFilter ()

virtual	~ImageFilter ()=0

Public Member Functions inherited from itk::simple::ProcessObject
virtual void	Abort ()

virtual int	AddCommand (itk::simple::EventEnum event, itk::simple::Command &cmd)
	Add a Command Object to observer the event. More...

virtual float	GetProgress () const
	An Active Measurement of the progress of execution. More...

virtual bool	HasCommand (itk::simple::EventEnum event) const
	Query of this object has any registered commands for event. More...

	ProcessObject ()

virtual void	RemoveAllCommands ()
	Remove all registered commands. More...

virtual	~ProcessObject ()

virtual void	DebugOn ()

virtual void	DebugOff ()

virtual bool	GetDebug () const

virtual void	SetDebug (bool debugFlag)

virtual void	SetNumberOfThreads (unsigned int n)

virtual unsigned int	GetNumberOfThreads () const

Private Types
typedef Image(Self::*	MemberFunctionType) (const Image &image1)

Private Member Functions
template<class TImageType >
Image	ExecuteInternal (const Image &image1)

Private Attributes
double	m_Alpha

double	m_Beta

bool	m_BrightObject

double	m_Gamma

nsstd::auto_ptr< detail::MemberFunctionFactory< MemberFunctionType > >	m_MemberFactory

unsigned int	m_ObjectDimension

bool	m_ScaleObjectnessMeasure

Friends
struct	detail::MemberFunctionAddressor< MemberFunctionType >

Additional Inherited Members
Static Public Member Functions inherited from itk::simple::ProcessObject
static bool	GetGlobalDefaultDebug ()

static void	GlobalDefaultDebugOff ()

static void	GlobalDefaultDebugOn ()

static void	SetGlobalDefaultDebug (bool debugFlag)

static void	GlobalWarningDisplayOn ()

static void	GlobalWarningDisplayOff ()

static void	SetGlobalWarningDisplay (bool flag)

static bool	GetGlobalWarningDisplay ()

static void	SetGlobalDefaultNumberOfThreads (unsigned int n)

static unsigned int	GetGlobalDefaultNumberOfThreads ()

static double	GetGlobalDefaultCoordinateTolerance ()
	Access the global tolerance to determine congruent spaces. More...

static void	SetGlobalDefaultCoordinateTolerance (double)
	Access the global tolerance to determine congruent spaces. More...

static double	GetGlobalDefaultDirectionTolerance ()
	Access the global tolerance to determine congruent spaces. More...

static void	SetGlobalDefaultDirectionTolerance (double)
	Access the global tolerance to determine congruent spaces. More...

Protected Member Functions inherited from itk::simple::ProcessObject
virtual unsigned long	AddITKObserver (const itk::EventObject &, itk::Command *)

virtual itk::ProcessObject *	GetActiveProcess ()

virtual void	OnActiveProcessDelete ()

virtual void	onCommandDelete (const itk::simple::Command *cmd) SITK_NOEXCEPT

virtual void	PreUpdate (itk::ProcessObject *p)

virtual void	RemoveITKObserver (EventCommand &e)

Protected Member Functions inherited from itk::simple::NonCopyable
	NonCopyable ()

Static Protected Member Functions inherited from itk::simple::ImageFilter< 1 >
static void	FixNonZeroIndex (TImageType *img)

Static Protected Member Functions inherited from itk::simple::ProcessObject
template<class TImageType >
static TImageType::ConstPointer	CastImageToITK (const Image &img)

template<class TImageType >
static Image	CastITKToImage (TImageType *img)

template<class TPixelType , unsigned int VImageDimension, unsigned int VLength, template< typename, unsigned int > class TVector>
static Image	CastITKToImage (itk::Image< TVector< TPixelType, VLength >, VImageDimension > *img)

static const itk::EventObject &	GetITKEventObject (EventEnum e)

template<typename T >
static std::ostream &	ToStringHelper (std::ostream &os, const T &v)

static std::ostream &	ToStringHelper (std::ostream &os, const char &v)

static std::ostream &	ToStringHelper (std::ostream &os, const signed char &v)

static std::ostream &	ToStringHelper (std::ostream &os, const unsigned char &v)

Detailed Description

Enhance M-dimensional objects in N-dimensional images.

This filter is a generalization of Frangi's vesselness measurement for detecting M-dimensional object in N-dimensional space. For example a vessel is a 1-D object in 3-D space. The filter can enhance blob-like structures (M=0), vessel-like structures (M=1), 2D plate-like structures (M=2), hyper-plate-like structures (M=3) in N-dimensional images, with M<N.

This filter takes a scalar image as input and produces a real valued image as output which contains the objectness measure at each pixel. Internally, it computes a Hessian via discrete central differences. Before applying this filter it is expected that a Gaussian smoothing filter at an appropriate scale (sigma) was applied to the input image.

$R_A = \frac{|\lambda_2|}{|\lambda_3|}, \; R_B = \frac{|\lambda_2|}{|\lambda_2\lambda_3|}, \; S = \sqrt{\lambda_1^2+\lambda_2^2+\lambda_3^2}$

$V_{\sigma}= \begin{cases} (1-e^{-\frac{R_A^2}{2\alpha^2}}) \cdot e^{\frac{R_B^2}{2\beta^2}} \cdot (1-e^{-\frac{S^2}{2\gamma^2}}) & \text{if } \lambda_2<0 \text{ and } \lambda_3<0 \text{,}\\ 0 & \text{otherwise} \end{cases}$

References: Antiga, L. Generalizing vesselness with respect to dimensionality and shape. https://hdl.handle.net/1926/576

: Frangi, AF, Niessen, WJ, Vincken, KL, & Viergever, MA (1998). Multiscale Vessel Enhancement Filtering. In Wells, WM, Colchester, A, & Delp, S, Editors, MICCAI '98 Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, pages 130-137, Springer Verlag, 1998.

See also: itk::HessianToObjectnessMeasureImageFilter; itk::simple::ObjectnessMeasure for the procedural interface; itk::ObjectnessMeasureImageFilter for the Doxygen on the original ITK class.

Definition at line 56 of file sitkObjectnessMeasureImageFilter.h.

Member Typedef Documentation

typedef Image(Self::* itk::simple::ObjectnessMeasureImageFilter::MemberFunctionType) (const Image &image1)

private

Setup for member function dispatching

Definition at line 157 of file sitkObjectnessMeasureImageFilter.h.

typedef RealPixelIDTypeList itk::simple::ObjectnessMeasureImageFilter::PixelIDTypeList

Define the pixels types supported by this filter

Definition at line 68 of file sitkObjectnessMeasureImageFilter.h.

typedef ObjectnessMeasureImageFilter itk::simple::ObjectnessMeasureImageFilter::Self

Definition at line 58 of file sitkObjectnessMeasureImageFilter.h.

Constructor & Destructor Documentation

virtual itk::simple::ObjectnessMeasureImageFilter::~ObjectnessMeasureImageFilter ( )

virtual

Destructor

itk::simple::ObjectnessMeasureImageFilter::ObjectnessMeasureImageFilter ( )

Default Constructor that takes no arguments and initializes default parameters

Member Function Documentation

Self& itk::simple::ObjectnessMeasureImageFilter::BrightObjectOff ( )

inline

Definition at line 133 of file sitkObjectnessMeasureImageFilter.h.

Self& itk::simple::ObjectnessMeasureImageFilter::BrightObjectOn ( )

inline

Set the value of BrightObject to true or false respectfully.

Definition at line 132 of file sitkObjectnessMeasureImageFilter.h.

Image itk::simple::ObjectnessMeasureImageFilter::Execute ( const Image & image1 )

Execute the filter on the input image

Image itk::simple::ObjectnessMeasureImageFilter::Execute	(	const Image &	image1,
		double	alpha,
		double	beta,
		double	gamma,
		bool	scaleObjectnessMeasure,
		unsigned int	objectDimension,
		bool	brightObject
	)

Execute the filter on the input image with the given parameters

template<class TImageType >

Image itk::simple::ObjectnessMeasureImageFilter::ExecuteInternal ( const Image & image1 )

private

double itk::simple::ObjectnessMeasureImageFilter::GetAlpha ( ) const

inline

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

Definition at line 80 of file sitkObjectnessMeasureImageFilter.h.

double itk::simple::ObjectnessMeasureImageFilter::GetBeta ( ) const

inline

Set/Get Beta, the weight corresponding to R_B (the ratio of the largest eigenvalue that has to be small to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

Definition at line 90 of file sitkObjectnessMeasureImageFilter.h.

bool itk::simple::ObjectnessMeasureImageFilter::GetBrightObject ( ) const

inline

Enhance bright structures on a dark background if true, the opposite if false.

Definition at line 138 of file sitkObjectnessMeasureImageFilter.h.

double itk::simple::ObjectnessMeasureImageFilter::GetGamma ( ) const

inline

Set/Get Gamma, the weight corresponding to S (the Frobenius norm of the Hessian matrix, or second-order structureness)

Definition at line 100 of file sitkObjectnessMeasureImageFilter.h.

std::string itk::simple::ObjectnessMeasureImageFilter::GetName ( ) const

inlinevirtual

Name of this class

Implements itk::simple::ProcessObject.

Definition at line 140 of file sitkObjectnessMeasureImageFilter.h.

unsigned int itk::simple::ObjectnessMeasureImageFilter::GetObjectDimension ( ) const

inline

Set/Get the dimensionality of the object (0: points (blobs), 1: lines (vessels), 2: planes (plate-like structures), 3: hyper-planes. ObjectDimension must be smaller than ImageDimension.

Definition at line 124 of file sitkObjectnessMeasureImageFilter.h.

bool itk::simple::ObjectnessMeasureImageFilter::GetScaleObjectnessMeasure ( ) const

inline

Toggle scaling the objectness measure with the magnitude of the largest absolute eigenvalue

Definition at line 114 of file sitkObjectnessMeasureImageFilter.h.

Self& itk::simple::ObjectnessMeasureImageFilter::ScaleObjectnessMeasureOff ( )

inline

Definition at line 109 of file sitkObjectnessMeasureImageFilter.h.

Self& itk::simple::ObjectnessMeasureImageFilter::ScaleObjectnessMeasureOn ( )

inline

Set the value of ScaleObjectnessMeasure to true or false respectfully.

Definition at line 108 of file sitkObjectnessMeasureImageFilter.h.

Self& itk::simple::ObjectnessMeasureImageFilter::SetAlpha ( double Alpha )

inline

Set/Get Alpha, the weight corresponding to R_A (the ratio of the smallest eigenvalue that has to be large to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

Definition at line 75 of file sitkObjectnessMeasureImageFilter.h.

Self& itk::simple::ObjectnessMeasureImageFilter::SetBeta ( double Beta )

inline

Set/Get Beta, the weight corresponding to R_B (the ratio of the largest eigenvalue that has to be small to the larger ones). Smaller values lead to increased sensitivity to the object dimensionality.

Definition at line 85 of file sitkObjectnessMeasureImageFilter.h.

Self& itk::simple::ObjectnessMeasureImageFilter::SetBrightObject ( bool BrightObject )

inline

Enhance bright structures on a dark background if true, the opposite if false.

Definition at line 129 of file sitkObjectnessMeasureImageFilter.h.

Self& itk::simple::ObjectnessMeasureImageFilter::SetGamma ( double Gamma )

inline

Set/Get Gamma, the weight corresponding to S (the Frobenius norm of the Hessian matrix, or second-order structureness)

Definition at line 95 of file sitkObjectnessMeasureImageFilter.h.

Self& itk::simple::ObjectnessMeasureImageFilter::SetObjectDimension ( unsigned int ObjectDimension )

inline

Set/Get the dimensionality of the object (0: points (blobs), 1: lines (vessels), 2: planes (plate-like structures), 3: hyper-planes. ObjectDimension must be smaller than ImageDimension.

Definition at line 119 of file sitkObjectnessMeasureImageFilter.h.

Self& itk::simple::ObjectnessMeasureImageFilter::SetScaleObjectnessMeasure ( bool ScaleObjectnessMeasure )

inline

Toggle scaling the objectness measure with the magnitude of the largest absolute eigenvalue

Definition at line 105 of file sitkObjectnessMeasureImageFilter.h.

std::string itk::simple::ObjectnessMeasureImageFilter::ToString ( ) const

virtual

Print ourselves out

Reimplemented from itk::simple::ProcessObject.